本文针对远程目标的定位瞄准问题，开发了一套以人脸为基点对远程目标进行定位瞄准的自动化系统。将基于Adaboost方法的肤色检测器和人脸检测器应用于系统中，提高定位、瞄准的效率。首先用肤色检测器对被检测视频进行预处理，将肤色区域从背景中分割出来，然后利用人脸检测器对肤色区域进行检测，定位并瞄准人脸目标。实验表明，对正面人脸目标和具有小角度偏转的人脸目标具有较好的检测效果，在300米左右的距离上可以准确地定位、瞄准目标，同时完全满足实时性要求。实际应用中可以减少人工定位、瞄准目标的复杂性，可以用于战场以及解救人质等紧急情况的辅助瞄准。

A longrange targets automatic localization and collimation system which takes the human face as the anchor point has been developed. In order to improve the performance,the skintone detector and the face detector based on AdaBoost are used in our system. First,the skintone detector checks the available video to separate the skin area from others,then the skintone area is processed with the AdaBoost face detection method to implement realtime localization and collimation. According to the experience,for the front faces and the faces with small angles,the system has a good result. Within the distance of 300m,it localizes and collimates the targets precisely and satisfies realtime requirement. The system is able to reduce the complexity and increase the precision of localization and collimation,and is suitable for the front line of a battle and saving hostages and so on.